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Update docs/What Works.md
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| Loader | Loading 1 LoRA | Loading 2 or more LoRAs | Training LoRAs | Multimodal extension | Perplexity evaluation |
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| Loader | Loading 1 LoRA | Loading 2 or more LoRAs | Training LoRAs | Multimodal extension | Perplexity evaluation |
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|----------------|----------------|-------------------------|----------------|----------------------|-----------------------|
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|----------------|----------------|-------------------------|----------------|----------------------|-----------------------|
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| Transformers | ✅ | ✅ | ✅* | ✅ | ✅ |
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| Transformers | ✅ | ✅*** | ✅* | ✅ | ✅ |
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| ExLlama_HF | ✅ | ❌ | ❌ | ❌ | ✅ |
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| ExLlama_HF | ✅ | ❌ | ❌ | ❌ | ✅ |
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| ExLlamav2_HF | ✅ | ✅ | ❌ | ❌ | ✅ |
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| ExLlamav2_HF | ✅ | ✅ | ❌ | ❌ | ✅ |
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| ExLlama | ✅ | ❌ | ❌ | ❌ | use ExLlama_HF |
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| ExLlama | ✅ | ❌ | ❌ | ❌ | use ExLlama_HF |
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| ExLlamav2 | ✅ | ✅ | ❌ | ❌ | use ExLlamav2_HF |
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| ExLlamav2 | ✅ | ✅ | ❌ | ❌ | use ExLlamav2_HF |
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| AutoGPTQ | ✅ | ❌ | ❌ | ✅ | ✅ |
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| AutoGPTQ | ✅ | ❌ | ❌ | ✅ | ✅ |
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| GPTQ-for-LLaMa | ✅** | ✅ | ✅ | ✅ | ✅ |
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| GPTQ-for-LLaMa | ✅** | ✅*** | ✅ | ✅ | ✅ |
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| llama.cpp | ❌ | ❌ | ❌ | ❌ | use llamacpp_HF |
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| llama.cpp | ❌ | ❌ | ❌ | ❌ | use llamacpp_HF |
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| llamacpp_HF | ❌ | ❌ | ❌ | ❌ | ✅ |
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| llamacpp_HF | ❌ | ❌ | ❌ | ❌ | ✅ |
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| ctransformers | ❌ | ❌ | ❌ | ❌ | ❌ |
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| ctransformers | ❌ | ❌ | ❌ | ❌ | ❌ |
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\* Training LoRAs with GPTQ models also works with the Transformers loader. Make sure to check "auto-devices" and "disable_exllama" before loading the model.
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\* Training LoRAs with GPTQ models also works with the Transformers loader. Make sure to check "auto-devices" and "disable_exllama" before loading the model.
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\*\* Requires the monkey-patch. The instructions can be found [here](https://github.com/oobabooga/text-generation-webui/wiki/08-%E2%80%90-Additional-Tips#using-loras-with-gptq-for-llama).
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\*\* Requires the monkey-patch. The instructions can be found [here](https://github.com/oobabooga/text-generation-webui/wiki/08-%E2%80%90-Additional-Tips#using-loras-with-gptq-for-llama).
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\*\*\* Multi-LoRA in PEFT is tricky and the current implementation does not work reliably in all cases.
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